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compounding_ittoday at 11:22 AM5 repliesview on HN

>Indian students

Resume glorification and LinkedIn / GitHub profile attention do that.

I am seeing a lot of people coming up with perceived knowledge that's just LLM echo chambers. Code they contribute comes straight out of LLMs. This is generally fine as long as they know what it does. But when you ask them to make some changes, some are as lost as ever.

Torvalds was right, code maintenance is going to be a headache thanks to LLMs.


Replies

coldteatoday at 11:35 AM

>This is generally fine as long as they know what it does.

Thanks to their LLM reliance they'd soon not know what it does, and forget even the little they know about coding

oefrhatoday at 2:15 PM

At this point I won’t consider any GitHub activity after ~2024 as hiring signals unless it’s very substantial work on high profile projects that clearly have high bars.

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MisterTeatoday at 3:35 PM

> Torvalds was right, code maintenance is going to be a headache thanks to LLMs.

I know someone in a senior engineering position at Epic who does nothing but clean up PR's from their off-shored Ukrainian sweat shop coders handing in AI slop because all they need to do is close a ticket to get paid. They wind up rewriting half or more of it. Epic doesn't seem to care so long as this "solution" works and saves them money by paying a few really smart people to code janitor until hopefully all of them can be replaced by LLMs.

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blitzartoday at 11:28 AM

> Resume glorification and LinkedIn / GitHub profile attention do that.

I wondered why people would video themselves going around slapping strangers in public then shouting "its just a prank bro" - turns out it works.

thephybertoday at 11:28 AM

Regard to code maintenance:

I’m actually of the mind it will be easier IF you follow a few rules.

Code maintenance is already a hassle. The solution is to maintain the intent or the original requirements in the code or documentation. With LLMs, that means carrying through any prompts and to ensure there are tests generated which prove that the generated code matches the intent of the tests.

Yes, I get that a million monkeys on typewriters won’t write maintainable code. But the tool they are using makes it remarkably easy to do, if only they learn to use it.

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